Midlands State University Library
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Introduction to probability and statistics for engineers and scientists created by Sheldon M. Ross

By: Material type: TextTextPublisher: Elsevier, 2014Edition: Fifth editionDescription: 670 pages : illustrationsContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780123948113
Subject(s): LOC classification:
  • TA340 ROS
Contents:
Introduction to Statistics -- Descriptive Statistics -- Elements of Probability -- Random Variables and Expectation -- Special Random Variables -- Distributions of Sampling Statistics -- Parameter Estimation -- Hypothesis Testing -- Regression -- Analysis of Variance -- Goodness of Fit Tests and Categorical Data Analysis -- Nonparametric Hypothesis Tests -- Quality Control -- Life Testing -- Simulation, Bootstrap Statistical Methods, and Permutation Tests.
Summary: This book provides a superior introduction to applied probability and statistics for engineering or science majors. Ross emphasizes the manner in which probability yields insight into statistical problems; ultimately resulting in an intuitive understanding of the statistical procedures most often used by practicing engineers and scientists. Real data sets are incorporated in a wide variety of exercises and examples throughout the book, and this emphasis on data motivates the probability coverage. As with the previous editions, Ross' text has tremendously clear exposition, plus real-data examples and exercises throughout the text. Numerous exercises, examples, and applications connect probability theory to everyday statistical problems and situations.
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Holdings
Item type Current library Call number Copy number Status Date due Barcode
Book Book Zvishavane Mining Sciences Library Open Shelf TA340 ROS (Browse shelf(Opens below)) 154221 Available BK141407

Introduction to Statistics --
Descriptive Statistics --
Elements of Probability --
Random Variables and Expectation --
Special Random Variables --
Distributions of Sampling Statistics --
Parameter Estimation --
Hypothesis Testing --
Regression --
Analysis of Variance --
Goodness of Fit Tests and Categorical Data Analysis --
Nonparametric Hypothesis Tests --
Quality Control --
Life Testing --
Simulation, Bootstrap Statistical Methods, and Permutation Tests.

This book provides a superior introduction to applied probability and statistics for engineering or science majors. Ross emphasizes the manner in which probability yields insight into statistical problems; ultimately resulting in an intuitive understanding of the statistical procedures most often used by practicing engineers and scientists. Real data sets are incorporated in a wide variety of exercises and examples throughout the book, and this emphasis on data motivates the probability coverage. As with the previous editions, Ross' text has tremendously clear exposition, plus real-data examples and exercises throughout the text. Numerous exercises, examples, and applications connect probability theory to everyday statistical problems and situations.

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